{"id":"W6948401012","doi":"10.5064/f6buax58/crnqbc","title":"Burke_EDI_NENA.MA004.ResearcherSurvey.2017.09.24.pdf","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identifier; Survey data collection; Plan (archaeology); Survey methodology; Identification (biology); Scale (ratio); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00230878,0.0004393648,0.0004820594,0.0001019354,0.001069763,0.0002543054,0.003837501,0.0005736665,0.002636834],"category_scores_gemma":[0.0006300305,0.0002288073,0.0001607162,0.000760688,0.0008413903,0.0004905441,0.002434566,0.0009562171,0.001695947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021711,"about_ca_system_score_gemma":0.0001997666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007538237,"about_ca_topic_score_gemma":0.003459953,"domain_scores_codex":[0.9934515,0.002831759,0.0004036577,0.001380169,0.001256463,0.0006764156],"domain_scores_gemma":[0.995845,0.001632721,0.0003950387,0.0009016276,0.0007950639,0.0004305259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001422145,0.0002138594,0.00002061575,0.00004702774,0.0001877544,0.000155585,0.0003721858,1.83259e-7,0.002716346,0.00001671046,0.9956827,0.000444887],"study_design_scores_gemma":[0.0002568422,0.0003344795,0.0008536098,0.00007643997,0.00006488759,0.000009171026,0.007349394,0.0000129753,0.0001482002,0.00003043968,0.9903443,0.0005192782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006805813,0.0001230948,0.000003064425,0.0005595583,0.0007127515,0.000430618,0.9899464,0.00005631614,0.001362433],"genre_scores_gemma":[0.0001922208,0.0004253843,0.000111559,0.00007249703,0.001054634,0.000002793696,0.9828803,0.000003174493,0.01525746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01389503,"threshold_uncertainty_score":0.9990814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2046961481374911,"score_gpt":0.3698086018737027,"score_spread":0.1651124537362116,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}